Prediction of time-activity curves by machine learning and biomathematical model for discovery and development of CNS PET ligands

Kyosei Sahashi

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[WFNMB]Poster

The13th Congress of the World Federation of Nuclear Medicine and Biology(WFNMB2022) » [WFNMB]Poster Program

Physics1

PET

Sun. Sep 11, 2022 8:00 AM - 8:00 PM Web distribution only (配信のみ)

[WP-24-2] Prediction of time-activity curves by machine learning and biomathematical model for discovery and development of CNS PET ligands

Kyosei Sahashi、Itsuki Miyajima、Ayano Yoshikawa、Miho Shidahara (Department of Quantum Science and Energy Engineering, Graduate School of Engineering, Tohoku University)

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Presentation information

Physics1

PET

[WP-24-2] Prediction of time-activity curves by machine learning and biomathematical model for discovery and development of CNS PET ligands

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